RecSys in HR: Workshop on recommender systems for human resources

Toine Bogers, David Graus, Mesut Kaya, Francisco Gutiérrez, Katrien Verbert

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearch

1 Citation (Scopus)
Original languageEnglish
Title of host publicationRecSys 2021 - 15th ACM Conference on Recommender Systems
Number of pages4
PublisherAssociation for Computing Machinery
Publication date13 Sept 2021
Pages799-802
ISBN (Electronic)9781450384582
DOIs
Publication statusPublished - 13 Sept 2021
Event15th ACM Conference on Recommender Systems, RecSys 2021 - Virtual, Online, Netherlands
Duration: 27 Sept 20211 Oct 2021

Conference

Conference15th ACM Conference on Recommender Systems, RecSys 2021
Country/TerritoryNetherlands
CityVirtual, Online
Period27/09/202101/10/2021
SponsorACM Special Interest Group on Artificial Intelligence (SIGAI), ACM Special Interest Group on Computer-Human Interaction (SIGCHI), ACM Special Interest Group on Hypertext, Hypermedia, and Web (ACM Special Interest Group on Hypertext, Hypermedia, and Web), Special Interest Group on Information Retrieval (ACM SIGIR), ACM Special Interest Group on Knowledge Discovery in Data (SIGKDD), Special Interest Group on Economics and Computation (SIGecom)
SeriesRecSys 2021 - 15th ACM Conference on Recommender Systems

Keywords

  • hiring
  • human resources
  • recommender systems
  • recruitment
  • HR
  • JobMatch

    Bogers, T. & Kaya, M.

    01/12/202030/11/2023

    Project: Research

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